Image hiding and extraction algorithm based on intensity quantization and block random scrambling

Lin Junhuan, Chen Yuefen
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Abstract

Information hiding technology is studied in this paper, and a new image hiding algorithm based on intensity quantization and block random scrambling is proposed in this paper. The information is embedded into the carrier image in space domain, and when reconstructing the secret information, noise detection is performed before inverse quantization. A simple system of image hiding and extraction using the proposed algorithm based on Matlab is realized, and its resistance to noising, cropping and scribbling is simulated Results verifies the validity of the proposed algorithm and it has the advantages of simple implementation, large hiding capacity and good anti-noising and cropping performance.
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基于强度量化和分块随机置乱的图像隐藏与提取算法
本文对信息隐藏技术进行了研究,提出了一种基于强度量化和块随机置乱的图像隐藏算法。在空间域中将信息嵌入到载体图像中,在重构秘密信息时,先进行噪声检测,再进行逆量化。利用本文提出的算法在Matlab上实现了一个简单的图像隐藏与提取系统,并对其进行了抗噪声、抗裁剪和抗乱划的仿真,结果验证了本文提出的算法的有效性,具有实现简单、隐藏容量大、抗噪声和抗裁剪性能好等优点。
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